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Record W4301118326 · doi:10.47886/9781888569964.ch24

Eels at the Edge: Science, Status, and Conservation Concerns

2009· book-chapter· en· W4301118326 on OpenAlexaboutno aff

Bibliographic record

VenueAmerican Fisheries Society eBooks · 2009
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFisheryFishingAnguilla rostrataGeographyTonneRange (aeronautics)Environmental scienceBiologyArchaeologyEngineering

Abstract

fetched live from OpenAlex

<em>Abstract.</em>—The American eel <em>Anguilla rostrata </em>is an important component of the aquatic ecosystem of Lake Ontario and the upper St. Lawrence River and historically has been one of the most valuable commercial species in Ontario waters of this system. Between 1984 and 1993, reported annual harvest ranged from 104 to 124 metric tons. Since 1993, eel harvests have declined precipitously in all areas above the Moses-Saunders Power Dam in spite of an increase in price per kg. During 2002, fishers held 85 eel licenses and harvested 12 metric tons (mt) of maturing yellow eel, mostly with hoop nets and trap nets. The numbers of eels migrating into this system in recent years suggests that if fishing effort remains constant, commercial harvests in areas above the dam will be under 3 mt per year between now and 2010. Provincial management programs have imposed license and season restrictions, reduced quotas, and more detailed catch reporting. Sustainable management practices throughout the range of this panmictic species will be required to restore the eel as an abundant species in Lake Ontario and the upper St. Lawrence River.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.036
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.019
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.222
Teacher spread0.207 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations37
Published2009
Admission routes1
Has abstractyes

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